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Michael Saylor elaborates on the strategy of digital credit strategy: MSTR focuses on maximizing returns, while STRC emphasizes stable income

Founder of Strategy, Michael Saylor, stated in a post that Bitcoin is digital capital, MSTR is digital equity, and STRC is digital credit.The company's corporate strategy is to create two complementary products from Bitcoin capital: MSTR provides leveraged Bitcoin exposure and holds ownership of a growing digital credit business; STRC aims to reduce volatility, compress duration, and provide dollar returns. Creating digital credit requires active management of the entire balance sheet, including Bitcoin, dollars, debt, preferred stock, and common stock, involving multiple decisions regarding capital, liquidity, priority, dividend rates, payment frequency, and investor terms.The company's goal is to create the highest quality digital credit products: supported by financial resilience, disciplined capital allocation, and a more stable investor experience to provide attractive dollar returns. Dividends are visible outputs, but the quality of the underlying system is the core work.The company engineers products by managing capital, debt, and liquidity. Investors seeking Bitcoin price exposure can directly hold BTC or spot Bitcoin funds; meanwhile, MSTR investors buy equity in a company that simultaneously seeks Bitcoin leveraged exposure and digital credit business growth, accepting amplified volatility and downside risk. STRC investors pursue a different experience: dollar returns, reduced price volatility, and shorter duration characteristics, relying on the company's capital strength, priority debt position, dollar liquidity, and active management to achieve this.The two are interconnected—capital structure directs more volatility and return potential of Bitcoin towards common stock, thereby providing credit investors with more stable income claims. The company manages the balance sheet uniformly, creating leveraged exposure for equity investors and dampened exposure for credit investors, both relying on the company's strength and execution quality.To achieve this goal, Strategy continuously manages various levels of the capital structure, including issuing and repurchasing STRC, distinguishing between payment reserves and allocated cash, adjusting dividend rates, optimizing security terms, and seeking shorter durations and longer payment runways.The company emphasizes that digital credit is a discipline that requires continuous practice: stripping volatility, compressing duration, and extracting returns from Bitcoin capital. Bitcoin itself does not pay interest, and Strategy pays dividends through security terms. The ultimate goal is to build stronger digital credit and create greater long-term value for MSTR shareholders, reinforcing the quality of capital and equity value.

The socialized Meme trading platform Baola has received investment from Gate Ventures and is currently in the internal testing phase

Recently, the socialized Meme trading platform Baola, strategically invested by Gate Ventures, has entered the product internal testing phase. Baola is positioned as a socialized trading platform aimed at the Meme market, exploring the combination of social content and Meme trading around aspects such as hot topic discovery, market information tracking, community interaction, and trading participation.According to the official introduction, Baola's brand proposition is "Your next Meme is on Baola," aggregating information such as popular calls, KOL dynamics, on-chain trading data, and community interactions. Users can view Caller, the number of token mentions, market capitalization at the time of the call, and subsequent peak performance, and discover active market participants through features like KOL rankings and Callout boards, gaining insights into market hotspots and participant performance from multiple dimensions.In terms of community interaction, Baola supports users in independently publishing calls and market opinions, and allows them to continuously follow interested Callers through Follow. The platform also combines KOL public calls with on-chain trading dynamics, providing information on historical calls, recent performance, and buying and selling behaviors, further linking opinion sharing, hot topic discovery, and trading participation. Currently, Baola has entered the product internal testing phase and is continuously improving the socialized trading experience in the Meme field. Users can visit the official website (https://bao.la/) for more details.

Silicon-based Flow has completed the B+ round Phase II and C round financing, totaling nearly 2.9 billion yuan

The third-party AI inference infrastructure company, Silicon Flow, announced the completion of Phase II of its B+ round and C round financing. The company transforms computing power and models into directly callable Token services. By 2026, the cumulative equity financing amount has approached 2.9 billion yuan, and the amounts for these two rounds have not been disclosed.Based on the Token annual throughput in 2025, Silicon Flow ranks fourth among all Token suppliers in China, with a market share of 1.5%. The top three, Volcano Engine, Alibaba Cloud, and Baidu Smart Cloud, account for 42.7%, 32.5%, and 11.8% respectively, totaling about 87%. This round of investors includes the China Internet Investment Fund, Guoxin Fund, China Mobile Chain Long Fund, China Orient Asset International, as well as YaoTu Capital, Shengyi Capital, and Cathay Venture Capital continuing to invest.Silicon Flow's revenue in 2025 is projected to be 55.33 million yuan, with a net loss of 345 million yuan, and an overall gross margin of -24%. The company submitted its application to the Hong Kong Stock Exchange at the end of June and is currently applying for a main board listing under the 18C chapter "Uncommercialized Companies" rules. Beijing has just released the first provincial-level token economy special policy in the country, clearly proposing to build a "world-class token factory," and has listed inference engines, model and chip adaptation, and heterogeneous computing power as key directions.
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